Dataset Versions

v2

2023-04-13 4:59pm

Generated on Apr 13, 2023

Popular Download Formats

Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
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Dataset Split

Train Set 87%
1872Images
Valid Set 6%
133Images
Test Set 6%
135Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 17% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±18° Horizontal, ±21° Vertical
Grayscale: Apply to 35% of images
Saturation: Between -64% and +64%
Brightness: Between -52% and +52%
Exposure: Between -25% and +25%

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